Name |
Apache Iceberg |
Apache ORC |
Description |
Iceberg is a high-performance format for huge analytic tables. Utilises data stored in either parquet, avro, or orc. |
ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. |
License |
Apache license 2.0 |
Apache license 2.0 |
Source code |
https://github.com/apache/iceberg |
https://github.com/apache/orc |
Website |
https://iceberg.apache.org/ |
https://orc.apache.org/ |
Year created |
2017 |
2013 |
Company |
Netflix |
Hortonworks, Facebook |
Language support |
|
java, scala, c++, python |
Use cases |
Write once read many, Analytics, Efficient storage, ACID transactions |
Write once read many, Analytics, Efficient storage, ACID transactions |
Is human readable |
no
|
no
|
Orientation |
column or row |
row |
Has type system |
yes
|
yes
|
Has nested structure support |
yes
|
yes
|
Has native compression |
yes
|
yes
|
Has encoding support |
yes
|
yes
|
Has constraint support |
no
|
no
|
Has acid support |
yes
|
no
|
Has metadata |
yes
|
yes
|
Has encryption support |
maybe
|
yes
|
Data processing framework support |
Apache Drill,
Apache Flink,
Apache Gobblin,
Apache Pig,
Apache Spark,
|
Apache Flink,
Apache Gobblin,
Apache Hadoop,
Apache NiFi,
Apache Pig,
Apache Spark,
|
Analytics query support |
Apache Impala,
Apache Druid,
Apache Hive,
AWS Athena,
BigQuery,
Clickhouse,
Dremio,
DuckDB,
Presto,
Trino,
|
Apache Impala,
Apache Druid,
Apache Hive,
Apache Pinot,
AWS Athena,
BigQuery,
Clickhouse,
Firebolt,
Presto,
Trino,
|